IEEE

Deep Learning-Driven Diagnosis of Polycystic Ovary Syndrome (PCOS): A High-Accuracy CNN-Based Approach

Abstract: Women of reproductive age are frequently affected by PCOS, a common endocrine condition that frequently results in infertility and metabolic issues. This work uses a dataset of 44 clinical ...
IEEE

Carbon Emission Quantification of Machine Learning: A Review

Abstract: The rapid growth of machine learning (ML) technologies has raised significant concerns about their environmental impact, particularly regarding energy consumption and carbon emissions. This ...
IEEE

Deep Learning with 3D CNN for Knee Osteoarthritis Detection and Classification

Abstract: Of all joints, the knee is the most commonly afflicted with osteoarthritis (OA), which is the most common form of arthritis. Even though CNNs are seriously being utilized in medical imaging, ...
IEEE

Automated Detection of Missing Tooth Regions in CBCT Slices for Dental Implant Planning Using CNN with Transfer Learning

Abstract: Detecting the missing tooth region in Cone Beam Computed Tomography (CBCT) slices is crucial for dentists when planning dental implant placement. It allows dentists to accurately identify ...
IEEE

An Explainable Deep Learning Network With Transformer and Custom CNN for Bean Leaf Disease Classification

Abstract: Bean rust and angular leaf spot pose significant challenges to bean cultivation, impacting yields. Prompt disease identification maximizes productivity, but traditional methods need ...
IEEE

An Ensemble Deep Learning Model Using CNN, LSTM and Autoencoder for EEG-Based Parkinson’s Disease Classification

Abstract: Parkinson's disease is a neurological disorder hat effects the movements including shaking, stiffness, difficulty while walking and speaking. This condition will occur when the nerve cells ...
IEEE

Inverse Design of FBG-Based Optical Filters Using Deep Learning: A Hybrid CNN-MLP Approach

Abstract: Optical filters have always been a critical challenge for advancing communication systems. Despite significant progress in optical filters, the process of designing, fabricating, and ...
IEEE

Enhanced Grasshopper Detection in Smart Crops Using Faster R-CNN Deep Learning Model

Abstract: Grasshoppers inflict a consequential risk to agricultural outcome that require an effective identification technique for prompt management. Traditional methods of identifying pests often ...
IEEE

A CNN and Deep Learning-based Smart Satellite Surveillance System for Wildfire Detection and Wildlife Damage Assessment

Abstract: Wildfires are a growing concern due to their catastrophic impacts on the environment, ecosystem services, biodiversity, and human settlements. Different fire detection systems face ...
IEEE

Deep Learning for Skin Cancer Detection: Multi-Class Lesion Classification Using CNN Architecture

Abstract: Skin cancer ranks among ubiquitous malignancies, its prevalence escalating due to ecological shifts and protracted ultraviolet (UV)exposure. This study aims to address the pressing need for ...
IEEE

CNN-Based Deep Learning Framework for Multi-Class Rice Leaf Disease Detection and Classification

Abstract: Being a major contributor to rice production worldwide, rice leaf diseases need to be detected early and correctly to achieve maximum output and reduce losses. Processes based on deep ...
IEEE

Hybrid CNN-LSTM Model for Accurate Time Series Forecasting: A Deep Learning Approach

Abstract: Time series data analysis is essential in a variety of fields, such as finance, meteorology, and healthcare. Traditional methods often struggle to capture the complex temporal correlations ...